• PNF and Movement
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• v.8 no.1
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• pp.41-50
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• 2010

Pain originating from the sacroiliac joint(SIJ) has been associated with poor performance, yet specific diagnosis of sacroiliac dysfunction(SID) has been difficult to achieve. Clinical presentation of SID appears that pain and poor performance is responsive to local analgesia of periarticular structures with poorly defined pathology, and poor performance with bony pathological changes present as a result of chronic instability. Previous research indicates that physical examination cannot diagnose SIJ pathology. Earlier studies have not reported sensitivities and specificities of composites of provocation tests known to have acceptable inter-examiner reliability. Tests based on mechanics as manual provocation for SIJ pain have formed the basis of tests used to diagnose SIJ dysfunction. In this review summary, the purpose of this study was to describe the sacroiliac tests with a model of examination, diagnosis, and management of SID. Further research is warranted to determine whether SIJ tests is reliable means of evaluating innominate impairments.

• Journal of Biomedical Engineering Research
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• v.18 no.4
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• pp.407-412
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• 1997

In this paper, we present a new method to diagnose the characteristics of the soft tissue, especially a liver. In order to diagnose the characteristics of a liver, it is necessary to evaluate the propagation delay time and propagation velocity of bending vibration In a liver. For this purpose, we measure the propagation velocity of bending vibration in a liver for low frequency forced vibration using a standard ultrasonic Doppler diagnosis equipment. We have carried out preliminary experiments by using an ultrasonic probe of 3.5MHz and obtained some results. This new measurement method developed here can be applied to new research and medical fields for acoustic non-invasive diagnosis of soft tissue.

• Journal of Korean Academy of Nursing
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• v.33 no.1
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• pp.104-112
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• 2003

Purpose: While most psychiatrists diagnose Hwa-Byung as a chronic psychogenic disorder associated with familial, financial and personality, the purpose of study was to shed light on the nature of Hwa-Byung through pragmatics. Hwa-Byung is characterized as ‘Hwa’ which means fire ‘Byung’ which means disease. This condition cannot be empirically experienced, rather it is represented by suffering internally (in the mind). It also could find an aspect of somatization, and self-diagnosing. Method: As patients themselves diagnose Hwa-Byung, pragmatical approach was taken to analyze the context of the learning through their communication with others. The case examples resulted from in-depth telephone counseling with a client who is housewife with Hwa-Byung over a period of time at the Women's Hot Line. Result: The study showed that the client experienced continuous improper attacks by her husband. She expressed improperness by applying her personal emotions to social-justice reasoning. Conclusion: ‘Hwa’ means lack of mutual intimacy in this research. By expressing this ‘Hwa’, the client would like to recover mutual intimacy with her husband.

• Speech Sciences
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• v.5 no.1
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• pp.151-165
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• 1999

This paper describes a series of researches to diagnose vocal diseases using the statistical method and the acoustic signal analysis method. Speech materials are collected at the hospital. Using the pathological database, the basic parameters for the diagnosis are obtained. Based on the statistical characteristics of the parameters, valid parameters are chosen and those are used to diagnose the pathological speech signal. Cepstrum is used to extract parameters which represents characteristics of pathological speech. 3 layered neural network is used to train and classify pathological speech into normal, benign and malignant case.

• Journal of Korean Institute of Industrial Engineers
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• v.30 no.1
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• pp.50-57
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• 2004

The aim of this study is to collect driver's psychophysiological signal under various road condition and to select and quantify psychophysiological variables for diagnosis of road-driver compatibility. A 4x4 vehicle with measuring devices was developed to collect driver's psychophysiological signal and collected driver's psychophysiological signal under various road conditions. The collected data were analyzed by the temporal pattern of signal overtime. Thirteen bio-signals with consistent pattern were selected and quantified in terms of slope and amplitude of the signal. These quantified values could be used as a part of tool to diagnose the road-driver compatibility.

• Journal of Korean Institute of Industrial Engineers
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• v.30 no.1
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• pp.58-64
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• 2004

In order to determine the level of safety on highway driving, the relationship between the psychophysiological signal and driving condition was investigated. In particular, a Demand-Effort model was conceptualized and used in this study to diagnose the suitability of driving by reading the patterns of psychophysiological signals. To run the model, threshold values were determined to categorize the high, moderate and low level of effort. To examine the sensitivity of the model, a cross-validation process was performed by collecting additional data. Further investigation need to be conducted to improve the sensitivity of the model for practical application.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2215-2217
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• 1998

A remote maintenance system, which enables an engineer to check and treat machines installed at remote site with the help of data communication, has been developed. The maintenance of machines with the traveling of engineers is much costly in time and economically. With the developed system, the engineer at the remote site can diagnose malfunctioning machines. The remote maintenance system is composed of video conferencing system, camera control system and signal aquisition system. The developed system has been tested on the 100Mbps ATM network to evaluate its ability to diagnose remote machines.

• Proceedings of the KIEE Conference
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• 1998.07c
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• pp.1039-1041
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• 1998

This paper presents a practical fuzzy expert system to diagnose various faults occurred in local power systems. This integrated system can diagnose all faults occurred in a transmission network and substations. In this paper. the fuzzy reasoning of the diagnostic process is discussed in detail. The discrimination of false operations and non-operations of protective devices as well as the fault identification scheme are also analyzed together with the fuzzy inference process.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2485-2487
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• 2000

In this paper, we use a fuzzy algorithm to detect and diagnose the error which is caused by time delay of the computer-controlled system. Generally, a computer-controlled system is composed of computer and process. And they communicate the data each other. In data communication, error occurs by some reasons, such as noise, disturbance, hardware defect, etc. Time delay is one of the reasons. And time delay makes it difficult to distinguish whether the system really has a problem or not. Therefore, we need to detect and diagnose the error from time delay. For difficulty of modeling and ambiguity of classification, we use a fuzzy algorithm. To verify the better performance of the proposed algorithm, we exemplified by some simulation results.

• ETRI Journal
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• v.30 no.4
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• pp.555-564
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• 2008

This paper proposes a test algorithm that can detect and diagnose all the faults occurring in dual-port memories that can be accessed simultaneously through two ports. In this paper, we develop a new diagnosis algorithm that classifies faults in detail when they are detected while the test process is being developed. The algorithm is particularly efficient because it uses information that can be obtained by test results as well as results using an additional diagnosis pattern. The algorithm can also diagnose various fault models for dual-port memories.